Phoebe: a high-performance framework for solving phonon and electron Boltzmann transport equations

Understanding the electrical and thermal transport properties of materials is critical to the design of electronics, sensors, and energy conversion devices. Computational modeling can accurately predict material properties but, in order to be reliable, requires accurate descriptions of electron and phonon states and their interactions. While first-principles methods are capable of describing the energy spectrum of each carrier, using them to compute transport properties is still a formidable task, both computationally demanding and memory intensive, requiring integration of fine microscopic scattering details for estimation of macroscopic transport properties. To address this challenge, we present Phoebe-a newly developed software package that includes the effects of electron-phonon, phonon-phonon, boundary, and isotope scattering in computations of electrical and thermal transport properties of materials with a variety of available methods and approximations. This open source C++ code combines MPI-OpenMP hybrid parallelization with GPU acceleration and distributed memory structures to manage computational cost, allowing Phoebe to effectively take advantage of contemporary computing infrastructures. We demonstrate that Phoebe accurately and efficiently predicts a wide range of transport properties, opening avenues for accelerated computational analysis of complex crystals.

Automated summary

Understanding the electrical and thermal transport properties of materials is crucial for designing electronics, sensors, and energy conversion devices. This paper presents Phoebe, a software package that accurately predicts material properties by considering the effects of electron-phonon, phonon-phonon, boundary, and isotope scattering. Phoebe utilizes various methods and approximations to effectively compute electrical and thermal transport properties, making it a valuable tool for accelerated analysis of complex crystals.